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Using Aerospike Vector Search standalone indexes

Blog post from Aerospike

Post Details
Company
Date Published
Author
Dylan Welch
Word Count
969
Company Posts That Month
8
Language
English
Hacker News Points
-
Post removed?
No
Summary

Aerospike Vector Search (AVS) 1.1.0 introduces a standalone index mode, which enables rapid index construction by temporarily storing the index in memory on a single node. This feature allows users to build their indexes more efficiently in memory before transitioning them into distributed mode. Standalone indexes are faster at bulk indexing data but are not searchable until they transition to distributed mode. They require the standalone-indexer node role configured and must have data written before creation. Once built, they automatically become a distributed index, allowing for real-time querying. The AVS Python client provides an efficient way to create and manage standalone indexes, and the asvec CLI tool offers additional interaction capabilities with these indexes. This feature significantly speeds up bulk indexing while maintaining the robust capabilities of Aerospike Vector Search.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Vector Search 7 1,879 278 111 +3%
Real-time 6 4,629 997 226 +44%
Data Pipeline 1 505 175 73 +15%
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